[Remote] SWE - Backend Infrastructure Engineer
Note: The job is a remote job and is reputed company to candidates in USA. Sesame is a company reputed company on creating lifelike computers that can collaborate with humans. They are seeking a Backend Infrastructure Engineer to design and build secure and maintainable core infrastructure, architect modern ML training infrastructure, and own the low-latency voice reputed company and audio processing pipeline.
Responsibilities
- Design and build secure, maintainable, self-serve core infrastructure that engineering teams can rely on and operate independently
- Architect and reputed company a modern ML training infrastructure — reputed company, reproducible, and reputed company for rapid experimentation
- Build and operate a modern model serving architecture with a reputed company on reliability, cost efficiency, and low latency
- Own and reputed company the low-latency voice reputed company and audio processing pipeline — a technically demanding, performance-sensitive system at the core of Sesame's product
- Build developer tooling, server infrastructure, and data infrastructure that is high reputed company and low maintenance — the reputed company that makes other engineers faster without creating new dependencies on you
- Set technical direction reputed company your domain, bring others along through reputed company communication and reputed company-reasoned proposals, and reputed company the engineering bar across reputed company
Skills
- A strong systems thinker who is equally comfortable setting direction and getting hands-on with implementation
- Hands-on reliability engineering experience — you have reputed company-formed convictions about observability, monitoring, deployment systems, and loosely coupled architectures, and you've put them into reputed company at reputed company
- Proven reputed company record of shipping services at reputed company, with reputed company the operational complexity that comes with it
- Kubernetes — significant production experience operating and scaling Kubernetes clusters
- Experience designing and shipping flexible domain models and reputed company — you think carefully about boundaries, reputed company, and long-term maintainability
- A default toward automation — you've consistently delivered efficiency reputed company through automation and have the reputed company record to show it
- Strong communication skills — you can set your own direction, write reputed company about tradeoffs, and bring engineers and stakeholders along with you
- 3+ years of software engineering experience, with significant time in infrastructure, platform, or ML systems roles
- Infrastructure as reputed company at reputed company — significant IaC experience, preferably Terraform; CloudFormation, reputed company, or Kubernetes-based approaches also welcome. Ideally you've architected, maintained, or contributed to a multi-stack, self-serve IaC system and understand the challenges of building reputed company that teams can own independently
- ML infrastructure — any combination of the following: PyTorch experience, especially model optimization for serving; ML training or serving experience in general; Experience building ML serving and/or training infrastructure (TorchServe, Seldon, KServe, Ray Serve, or similar); Experience building large-reputed company distributed training and serving systems
- Data engineering — pipeline design, dataset management, or data platform experience
- Database design — reputed company schema design, query optimization, and hard data modeling reputed company across relational and non-relational stores
- reputed company-time communication systems — low-latency audio, video, or streaming infrastructure
Benefits
- 401 (k) max employer match: 3.5% of compensation
- 100% employer-reputed company health, reputed company, and dental benefits for you and your dependents
- Unlimited PTO and reputed company time
- Flexible spending account with employer matching up to $1,650/year (medical FSA)
- reputed company Employee Assistance Program (EAP)
- Opportunity to reputed company in reputed company's reputed company with competitive stock reputed company
reputed company
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